Compatible ideal contrast visual cryptography schemes with reversing

Chi Ming Hu*, Wen-Guey Tzeng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

Recently, Viet and Kurosawa proposed a VCS with reversing, which is a Visual Cryptography Scheme(VCS) where every participant is allowed to change black pixels on the transparency to white pixels and vice-versa. The contrast of their scheme is almost ideal, depending on the number of the reconstruction runs performed. Before long, S. Cimato et al. proposed two VCSs with reversing where the contrast of the reconstructed secret image is ideal. However, both Cimato et al.'s schemes cannot be decrypted solely with the human eye. In this paper we propose a new ideal VCS with reversing which is compatible and requires less stacking and reversing operations compared to all previous schemes. Each participant is required to store only two transparencies to reconstruct the ideal contrast secret image.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages300-313
Number of pages14
DOIs
StatePublished - 1 Dec 2005
Event8th International Conference on Information Security, ISC 2005 - Singapore, Singapore
Duration: 20 Sep 200523 Sep 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3650 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Information Security, ISC 2005
CountrySingapore
CitySingapore
Period20/09/0523/09/05

Keywords

  • Access Structure
  • Secret Sharing
  • Visual Cryptography

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  • Cite this

    Hu, C. M., & Tzeng, W-G. (2005). Compatible ideal contrast visual cryptography schemes with reversing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 300-313). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3650 LNCS). https://doi.org/10.1007/11556992_22